PYTH PYTH / DMAIL Crypto vs NUTS NUTS / DMAIL Crypto

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Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

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Asset PYTH / DMAILNUTS / DMAIL
📈 Performance Metrics
Start Price 1.700.01
End Price 6.930.05
Price Change % +307.90%+221.75%
Period High 8.610.05
Period Low 0.630.01
Price Range % 1,257.4%544.7%
🏆 All-Time Records
All-Time High 8.610.05
Days Since ATH 58 days13 days
Distance From ATH % -19.5%-12.3%
All-Time Low 0.630.01
Distance From ATL % +992.7%+465.5%
New ATHs Hit 23 times12 times
📌 Easy-to-Understand Stats
Avg Daily Change % 6.16%6.05%
Biggest Jump (1 Day) % +4.85+0.02
Biggest Drop (1 Day) % -1.31-0.01
Days Above Avg % 22.7%33.8%
Extreme Moves days 8 (2.3%)9 (3.0%)
Stability Score % 0.0%0.0%
Trend Strength % 56.6%53.7%
Recent Momentum (10-day) % +33.11%+0.99%
📊 Statistical Measures
Average Price 2.250.02
Median Price 1.680.02
Price Std Deviation 1.480.01
🚀 Returns & Growth
CAGR % +346.39%+318.43%
Annualized Return % +346.39%+318.43%
Total Return % +307.90%+221.75%
⚠️ Risk & Volatility
Daily Volatility % 10.27%10.72%
Annualized Volatility % 196.30%204.80%
Max Drawdown % -73.50%-79.12%
Sharpe Ratio 0.0820.082
Sortino Ratio 0.1040.110
Calmar Ratio 4.7134.024
Ulcer Index 33.2545.07
📅 Daily Performance
Win Rate % 56.6%53.7%
Positive Days 194160
Negative Days 149138
Best Day % +129.10%+89.71%
Worst Day % -33.36%-29.15%
Avg Gain (Up Days) % +6.04%+6.56%
Avg Loss (Down Days) % -5.94%-5.70%
Profit Factor 1.331.33
🔥 Streaks & Patterns
Longest Win Streak days 97
Longest Loss Streak days 610
💹 Trading Metrics
Omega Ratio 1.3251.334
Expectancy % +0.84%+0.88%
Kelly Criterion % 2.34%2.35%
📅 Weekly Performance
Best Week % +64.64%+81.49%
Worst Week % -40.25%-37.26%
Weekly Win Rate % 57.7%57.8%
📆 Monthly Performance
Best Month % +208.20%+106.65%
Worst Month % -52.94%-36.77%
Monthly Win Rate % 53.8%45.5%
🔧 Technical Indicators
RSI (14-period) 84.1046.71
Price vs 50-Day MA % +33.71%+41.71%
Price vs 200-Day MA % +155.35%+118.65%

Performance Metrics: Shows the price at the start and end of the period, total change, and the highest/lowest prices reached during this time frame. | All-Time Records: All-time records show the highest and lowest prices ever reached during this period, how far the current price is from those extremes, and how long ago they occurred. | Easy-to-Understand Stats: Easy-to-understand metrics including typical daily price movements, biggest single-day gains/losses, how often price stayed above average, stability measures, and short-term momentum trends. | Returns & Growth: CAGR (Compound Annual Growth Rate) shows the annualized return rate if this growth continued consistently, while annualized and total returns show performance scaled to different time periods. | Risk & Volatility: Risk metrics show price volatility (daily and annualized), maximum drawdown (worst peak-to-trough decline), and various ratios (Sharpe, Sortino, Calmar, Treynor, Information) that measure risk-adjusted returns. | Daily Performance: Daily performance shows positive vs negative days, win rate, best and worst single days, average gains/losses on up/down days, gain/loss ratio, and profit factor (total gains divided by total losses). | Trading Metrics: Trading metrics include Omega ratio (probability-weighted gains vs losses), payoff ratio (avg win/avg loss), expectancy (expected return per trade), Kelly Criterion (optimal position sizing %), and price efficiency (trending vs choppy).

📊 Asset Correlations

Correlation coefficient ranges from -1 (perfectly inverse) to +1 (perfectly correlated).

PYTH (PYTH) vs NUTS (NUTS): 0.821 (Strong positive)

Correlation shows how closely asset prices move together: +1.0 means perfect positive correlation (move in sync), 0 means no relationship, -1.0 means perfect negative correlation (move opposite). Lower correlation can help with portfolio diversification.

Data sources

PYTH: Kraken
NUTS: Bybit